diff --git a/jax/_src/numpy/lax_numpy.py b/jax/_src/numpy/lax_numpy.py
index 692bd3d49aaa..ae7ff06cc5c2 100644
--- a/jax/_src/numpy/lax_numpy.py
+++ b/jax/_src/numpy/lax_numpy.py
@@ -9166,9 +9166,43 @@ def _gcd_body_fn(xs: tuple[Array, Array]) -> tuple[Array, Array]:
             where(x2 != 0, lax.rem(x1, x2), _lax_const(x2, 0)))
   return (where(x1 < x2, x2, x1), where(x1 < x2, x1, x2))
 
-@util.implements(np.gcd, module='numpy')
 @jit
 def gcd(x1: ArrayLike, x2: ArrayLike) -> Array:
+  """Compute the greatest common divisor of two arrays.
+
+  JAX implementation of :func:`numpy.gcd`.
+
+  Args:
+    x1: First input array. The elements must have integer dtype.
+    x2: Second input array. The elements must have integer dtype.
+
+  Returns:
+    An array containing the greatest common divisors of the corresponding
+    elements from the absolute values of `x1` and `x2`.
+
+  See also:
+    - :func:`jax.numpy.lcm`: compute the least common multiple of two arrays.
+
+  Examples:
+    Scalar inputs:
+
+    >>> jnp.gcd(12, 18)
+    Array(6, dtype=int32, weak_type=True)
+
+    Array inputs:
+
+    >>> x1 = jnp.array([12, 18, 24])
+    >>> x2 = jnp.array([5, 10, 15])
+    >>> jnp.gcd(x1, x2)
+    Array([1, 2, 3], dtype=int32)
+
+    Broadcasting:
+
+    >>> x1 = jnp.array([12])
+    >>> x2 = jnp.array([6, 9, 12])
+    >>> jnp.gcd(x1, x2)
+    Array([ 6,  3, 12], dtype=int32)
+  """
   util.check_arraylike("gcd", x1, x2)
   x1, x2 = util.promote_dtypes(x1, x2)
   if not issubdtype(_dtype(x1), integer):
@@ -9178,9 +9212,43 @@ def gcd(x1: ArrayLike, x2: ArrayLike) -> Array:
   return gcd
 
 
-@util.implements(np.lcm, module='numpy')
 @jit
 def lcm(x1: ArrayLike, x2: ArrayLike) -> Array:
+  """Compute the least common multiple of two arrays.
+
+  JAX implementation of :func:`numpy.lcm`.
+
+  Args:
+    x1: First input array. The elements must have integer dtype.
+    x2: Second input array. The elements must have integer dtype.
+
+  Returns:
+    An array containing the least common multiple of the corresponding
+    elements from the absolute values of `x1` and `x2`.
+
+  See also:
+    - :func:`jax.numpy.gcd`: compute the greatest common divisor of two arrays.
+
+  Examples:
+    Scalar inputs:
+
+    >>> jnp.lcm(12, 18)
+    Array(36, dtype=int32, weak_type=True)
+
+    Array inputs:
+
+    >>> x1 = jnp.array([12, 18, 24])
+    >>> x2 = jnp.array([5, 10, 15])
+    >>> jnp.lcm(x1, x2)
+    Array([ 60,  90, 120], dtype=int32)
+
+    Broadcasting:
+
+    >>> x1 = jnp.array([12])
+    >>> x2 = jnp.array([6, 9, 12])
+    >>> jnp.lcm(x1, x2)
+    Array([12, 36, 12], dtype=int32)
+  """
   util.check_arraylike("lcm", x1, x2)
   x1, x2 = util.promote_dtypes(x1, x2)
   x1, x2 = ufuncs.abs(x1), ufuncs.abs(x2)